... studies have explored box office or rating prediction, few have combined early-stage feature sets with transparent, interpretable models. This study addresses this gap by developing a large-scale prediction framework using machine learning and explainable AI techniques. Design/methodology/approach...

... text mining techniques, we extracted relevant features and applied a two-stage regression analysis alongside explainable machine learning to identify factors influencing suggestive opinion expression. Findings Females, individuals possessing more extensive social experience, and users who...

... of multiple emotions and mitigating biases in traditional usefulness voting methods. Design/methodology/approach This study employs a novel hybrid machine learning framework that integrates information entropy, principal component analysis (PCA) with K-means clustering and a bidirectional encoder...

... the detection of misinformation are determined. A series of machine learning (ML)-based and deep learning (DL)-based models are employed to assess whether comment environment features can help improve model performance. Finally, Shapley Additive Explanations (SHAP) are applied to interpret feature contributions...

...) because insufficient information is published to make it reproducible. Technology assisted research assessment Bibliometrics Research evaluation Machine learning Algorithmic bias Transparency Technology Assisted Research Assessment (TARA) refers to the use of routine computer automation...

...Hossein Motahari-Nezhad Purpose No study has investigated the effects of different parameters on publication bias in meta-analyses using a machine learning approach. Therefore, this study aims to evaluate the impact of various factors on publication bias in meta-analyses. Design/methodology...

... the user's geographic location changes in the next 10 min and predict which app the user will use. Mobile search Information seeking behavior Cross-app behavior Machine learning User behavior Benefiting from the mobile internet development, mobile search engines have become an important way...